2023
DOI: 10.1002/adma.202205459
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Optical Memory, Switching, and Neuromorphic Functionality in Metal Halide Perovskite Materials and Devices

Abstract: Metal halide perovskite based materials have emerged over the past few decades as remarkable solution‐processable optoelectronic materials with many intriguing properties and potential applications. These emerging materials have recently been considered for their promise in low‐energy memory and information processing applications. In particular, their large optical cross‐sections, high photoconductance contrast, large carrier‐diffusion lengths, and mixed electronic/ionic transport mechanisms are attractive fo… Show more

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Cited by 32 publications
(17 citation statements)
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“…[7][8][9] The artificial neural network (ANN) developed based on such artificial synapses efficiently performs parallel data real-time computing, which is expected to break the von Neumann computation bottleneck. [10][11][12][13] The optical signal used as an additional term of the photonic synaptic transistor, have many advantages including high bandwidth, contactless transmission, ultra-fast response, low power consumption and so on. 12,14 It gives artificial photonic synapses potential applications in wireless human-computer interaction and nextgeneration multifunctional sensors.…”
Section: Introductionmentioning
confidence: 99%
“…[7][8][9] The artificial neural network (ANN) developed based on such artificial synapses efficiently performs parallel data real-time computing, which is expected to break the von Neumann computation bottleneck. [10][11][12][13] The optical signal used as an additional term of the photonic synaptic transistor, have many advantages including high bandwidth, contactless transmission, ultra-fast response, low power consumption and so on. 12,14 It gives artificial photonic synapses potential applications in wireless human-computer interaction and nextgeneration multifunctional sensors.…”
Section: Introductionmentioning
confidence: 99%
“…However, traditional computing systems based on the separation of computing and storage units in the von Neumann architecture generate a large amount of redundant data and occupy a huge storage space when used to construct visual systems, which cannot meet practical application requirements. 7,8…”
Section: Introductionmentioning
confidence: 99%
“…Our analysis illuminates just how unique MHP structural properties are across materials science. Instead of the stabilization-centric narrative driven by PV literature, we highlight MHPs as switchable and stimuliresponsive semiconductors 29 that enable new applications spanning switchable PV smart windows, 21,30 electronic ratchets, 24 solid-state electrolytes, 20 light-emitting electrochemical cells (LECs), 25 and next-generation memory or neuromorphic computing elements 27,31,32 (Figure 1). Formation Energy of MHPs.…”
mentioning
confidence: 99%
“…53 MHPs also exhibit two polymorphs near standard conditions with a significant change in bonding environment (3D ↔ 1D) resulting in large differences in optoelectronic properties: a 3D black cubic phase (α, E G = 1.45−1.75 eV) and a 1D pale-yellow orthorhombic (Cs-based) or hexagonal (FA-based) phase (δ, E G = 2.40−2.85 eV) (Figure 3a). A comprehensive discussion on the many reversible MHP transformations can be found in ref 31.…”
mentioning
confidence: 99%
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